NeurIPS

GlyphControl: Glyph Conditional Control for Visual Text Generation

Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen

Comments Accepted by NeurIPS 2023. The codes have been released at https://github.com/AIGText/GlyphControl-release

Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection

Burhaneddin Yaman, Tanvir Mahmud, Chun-Hao Liu

Journal ref NeurIPS Workshop on Heavy Tails in ML, 2023

FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation

Adrian Celaya, Beatrice Riviere, David Fuentes

Comments To appear in LatinX in AI (LXAI) Research Workshop @ NeurIPS 2023

Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions

Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Learning Human Action Recognition Representations Without Real Humans

Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris

Comments 19 pages, 7 figures, 2023 NeurIPS Datasets and Benchmarks Track

Going beyond persistent homology using persistent homology

Johanna Immonen, Amauri H. Souza, Vikas Garg

Comments Accepted to NeurIPS 2023

Minimum norm interpolation by perceptra: Explicit regularization and implicit bias

Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch

Journal ref Thirty-seventh Conference on Neural Information Processing Systems 2023

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

Yeshu Li, Brian D. Ziebart

Comments NeurIPS 2O23 Spotlight. More empirical results added

Large Language Models are Zero Shot Hypothesis Proposers

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

Comments Instruction Workshop @ NeurIPS 2023

Multiscale Neural Operators for Solving Time-Independent PDEs

Winfried Ripken, Lisa Coiffard, Felix Pieper, Sebastian Dziadzio

Comments The Symbiosis of Deep Learning and Differential Equations III @ NeurIPS 2023

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bayan Bruss, Andrew Gordon Wilson, Tom Goldstein, Micah Goldblum

Journal ref Conference on Neural Information Processing Systems 2023

Let's Reinforce Step by Step

Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky

Comments NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following

Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization

Russell Alan Hart, Linlin Yu, Yifei Lou, Feng Chen

Comments Neurips 2023

Interpretable Neural PDE Solvers using Symbolic Frameworks

Yolanne Yi Ran Lee

Comments Accepted to the NeurIPS 2023 AI for Science Workshop. arXiv admin note: text overlap with arXiv:2310.19763

An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer

Comments Appears in NeurIPS 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning

Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv

Comments Accepted by NeurIPS 2023

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding

Devleena Das, Sonia Chernova, Been Kim

Comments NeurIPS 2023

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

Comments NeurIPS 2023 camera-ready version, 39 pages

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models

Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing

Comments NeurIPS 2023 (Datasets and Benchmarks)

Transformers learn to implement preconditioned gradient descent for in-context learning

Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra

Comments Improved presentation and added new results for the nonlinear activation case; 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Journal ref 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Dynamic Sparsity Is Channel-Level Sparsity Learner

Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu

Comments Accepted by the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Adapting Fairness Interventions to Missing Values

Raymond Feng, Flavio P. Calmon, Hao Wang

Comments Accepted to NeurIPS 2023

Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network

Zitang Sun, Yen-Ju Chen, Yung-hao Yang, Shin'ya Nishida

Comments accepted by NeurIPS 2023

Stable Bias: Analyzing Societal Representations in Diffusion Models

Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, Yacine Jernite

Comments Accepted to NeurIPS Datasets and Benchmarks 2023 (spotlight)

Taming Local Effects in Graph-based Spatiotemporal Forecasting

Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi

Comments Accepted at NeurIPS 2023

EgoEnv: Human-centric environment representations from egocentric video

Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman

Comments Published in NeurIPS 2023 (Oral)

Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

Anurag Ghosh, Vaibhav Balloli, Akshay Nambi, Aditya Singh, Tanuja Ganu

Comments NeurIPS 2023 Accepted Paper

Outlier-Robust Wasserstein DRO

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

Comments Appearing at NeurIPS 2023

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

ShengYun Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

Comments Table Representation Learning Workshop at NeurIPS 2023 (Oral)

Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples

Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis

Comments Accepted to NeurIPS 2023. arXiv admin note: substantial text overlap with arXiv:2206.14868